Incorporating functional annotations for fine-mapping causal variants in a bayesian framework using summary statistics

Genetics

Volumn 204, Issue 3, 2016, Pages 933-958

  Chen, Wenan ^a   McDonnell, Shannon K ^a   Thibodeau, Stephen N ^b   Tillmans, Lori S ^b   Schaid, Daniel J ^a  

^a Division of Biostatistics   (United States)

^b MAYO CLINIC   (United States)

Author keywords

Annotations; Bayesian fine mapping; Causal variants; Summary statistics

Indexed keywords

ARTICLE; BAYES THEOREM; CALCULATION; CANCER RISK; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; GENE EXPRESSION; GENE LINKAGE DISEQUILIBRIUM; GENE MAPPING; GENETIC SCREENING; GENETIC VARIABILITY; GENETIC VARIATION; HUMAN; INTERMETHOD COMPARISON; MALE; MEASUREMENT ACCURACY; PRIORITY JOURNAL; PROSTATE; PROSTATE CANCER; QUANTITATIVE TRAIT; QUANTITATIVE TRAIT LOCUS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; VALIDATION STUDY; ALGORITHM; CONTIG MAPPING; GENOME-WIDE ASSOCIATION STUDY; MOLECULAR GENETICS; PROCEDURES; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CONTIG MAPPING; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MOLECULAR SEQUENCE ANNOTATION; QUANTITATIVE TRAIT LOCI; SENSITIVITY AND SPECIFICITY;

EID: 84994894081     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.116.188953     Document Type: Article

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